A framework for state-of-the-art pre-trained bio foundation models on genomics and transcriptomics modalities.
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Updated
Jul 17, 2025 - Python
A framework for state-of-the-art pre-trained bio foundation models on genomics and transcriptomics modalities.
Analyze your RNA sequencing data without writing a single line of code
User-friendly tool to infer cell-cell interactions and communication from gene expression of interacting proteins
Python implementation of bulk RNAseq deconvolution algorithms
A deep learning model (EVO2-500M) for predicting host specificity of eukaryote-infecting viruses CDNA sequence
Project Manager for NGS data analysis
PISCES is a pipeline for rapid transcript quantitation, genetic fingerprinting, and quality control assessment of RNAseq libraries using Salmon.
Bulk RNA-seq Data Processing, Quality Control, and Downstream Analysis Pipeline
Long RNA-seq analysis workflow
Code, documentation, and tutorials for the DGD model trained on bulk RNA-Seq data.
Emending Alignment of Spliced Transcript Reads
RNA-seq Data Processing, Quantification and Annotation Snakemake Workflow and MrBiomics Module.
SmartRNASeqCaller is a post-processing pipeline to improve germline variant calling from RNA-Seq data
Nanopore direct tRNA sequencing method refinement and RNA modification benchmarking
A cli for running multiple qsub jobs with HTSeq's htseq-count on a cluster.
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